A deep graph network with multiple similarity for user clustering in human–computer interaction

Kang, Y., Pu, B., Kou, Y. et al. (6 more authors) (2022) A deep graph network with multiple similarity for user clustering in human–computer interaction. ACM Transactions on Multimedia Computing, Communications and Applications. ISSN 1551-6857

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 Association for Computing Machinery. This is an author-produced version of a paper subsequently published in ACM Transactions on Multimedia Computing, Communications and Applications. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Attributed graph clustering; cluster-friendly features; deep graph embedding; self-supervision module
Dates:
  • Accepted: 23 November 2021
  • Published (online): 24 August 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 18 May 2022 09:30
Last Modified: 21 Sep 2022 16:04
Status: Published online
Publisher: Association for Computing Machinery
Refereed: Yes
Identification Number: https://doi.org/10.1145/3549954

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